Types of big data | Three types of big data

Some of the points on Big Data types are as follows. There are three types of big data such as structured, unstructured and semi-structured. Let us check out different types of Big Data in this article. Also, find out the advantages and disadvantages to know more about Big Data.

Some of the different Big Data type are: 

Structured type Big Data

Structured is one of the types of big data and by structured data, we mean data that can be processed stored and retrieved in a fixed format.

This type of data includes:

  • Mainframe
  • SQL server
  • DB2
  • Teradata
  • Access, Excel, txt, etc
  • SAP, JDE, JDA, ERP, etc
  • Sybase

Unstructured type Big Data

Unstructured data refer to the data that lack any specific form or structure whatsoever. This makes it very difficult and time-consuming to process and analyze unstructured data.

This type of data includes:

  • Social media
  •  Chatter
  •  Text
  •  Tweet
  •  Blogs
  •  Comments
  •  Likes
  •  Followers
  •  Clicks
  •  Authority
  •  Analytics
  •  Social
  •  Tages
  • Digital video, QR
  •  Audio
  • Geo-spatial

Semi-structured type Big Data

Semistructured is the third type of big data. It is more flexible than structured data but less than flexible than unstructured data.

This type of data includes:

  • XML data
  • JSON files

 

Explore more information: 

  1. Advantages and disadvantages of Big Data
  2. What are the use and need for Big Data?
  3. What are the characteristics of Big Data?
  4. Benefits of using Big Data in the manufacturing industry
  5. What are the advantages of Big Data in accounting?
  6. What are the risks and challenges of Big Data?
  7. What are the challenges of Big Data in healthcare?
  8. Application of Big Data in the government sector